Group Chief Data Officer

Chức danh công việc: Group Chief Data Officer/ Head of VPBank Enterprise Data and Analytics Division

Strategy & Planning

Lead, develop, communicate, and implement the strategic direction of Enterprise Data and Analytics Division:

• Lead the development of the annual business plan and objectives, direction for product and service development, and budget of the Enterprise Data and Analytics Division based on the strategic development direction for the short and long term to ensure competitiveness, customer needs, market, partners, and achieve business targets assigned by the Board of Directors/CEO.

• Lead the implementation of the organizational and business models of the Division to enhance market competitiveness and achieve short-term, medium-term, and long-term growth and profitability objectives.

• Lead and approve the business allocation plan for the departments/units under the Division, control and support direct management personnel to build and allocate KPIs for subordinates.

• Monitor the progress and adjust the annual action plan/strategy as necessary to achieve desired results based on the approved development strategy, follow market conditions, industry trends, competitors, customer needs, and changes in regulations from relevant authorities and strategic partners.

• Develop the bank's data management strategy under the direction of the leadership board.

• Establish data management and governance standards, policies, and procedures.

• Standardize business analysis tools and maximize automation of business analysis reports.

• Develop policies and measures to protect information assets, especially related to data security laws if applicable in Vietnam.

• Attend EXCO, Strategy Council, Strategy Planning,as well as other Executive Board and Leadership Board meetings as necessary.

Business Management

General Operations Management:

• Implement leadership and business management, direct the activities of the Division

• Monitor the development and implementation of appropriate strategic initiatives to enhance market competitiveness and achieve short- and long-term growth and profit objectives.

Successful achievement of Data Analytics targets & Development goals:

• Lead the design of the overall data architecture and ensure its consistency with the management framework throughout the development of the entire ecosystem data system, identify new types, forms, and sources of data to support business innovation throughout the organization.

• Lead comprehensive management of end-to-end data flow for integration, storage, process of data in end-to-end data pipelines for integration, storage, and processing of data: Develop and maintain controls for data quality, interaction ability, and sources to effectively manage the company's data usage and analysis-related risks.

• Lead the management of the readiness, accessibility, and distribution of system-wide data as a product: Manage data, exploit data for in-depth research and analysis to maximize profitability on data assets.

• Lead the application and promotion of AI/ML technology in the banking industry

- Design and implement predictive analytics and optimization analytics for business and operations units, using data science and machine learning techniques.

- Package models, APIs, and develop intuitive tool systems with the aim of providing advanced analysis solutions to units.

- Partner with business and operations units to correspondingly support the development of AI strategies with the overall goal of achieving business/operational objectives.

• Develop methods to ensure consistency and suitability of analysis results in practical business decisions.

• Promote a data-driven decision-making culture and enhancing understanding of data across the bank.

• Manage, monitor the implementation, and adjusting policies and data management to meet legal and information security requirements.

• Coordinate IT, Infrastructure Management reporting (data model, business metadata, data mart, BI).

• Provide regular/ad-hoc BI reports & analytics to support decisions making

Compliance and risk management

• Monitor the compliance with internal and external policies.

• Supervise the application of limits and risk management procedures in accordance with the Bank's regulations from time to time

Resources Management

People Management

Implement the necessary leadership and management to enable direct and indirect subordinates to achieve the goals of EDA and the bank.

• Develop staff and head-count plans, human resource allocation.

• Work in collaboration with HR to develop recruitment, training, succession planning, career development roadmap, recognition employees, performance management for employees in EDA.

• Attracting, developing and retaining key performers and improving employee satisfaction

Corporate Culture

• Act as a role model in building corporate culture. Ensure the correct and full implementation of corporate culture implementation plans; Employees understand and apply consistently corporate cultural values, behavioral standards of VPBank.

Other responsibilities assigned time to time by superior

Trình độ đào tạo/Educational Qualifications

• University degree with majors: Business Administration, Technology, Finance - Banking, Economics or related fields.

• Master Degree in Business or Finance is preferred

Kiến thức/ Chuyên môn /kinh nghiệm liên Quan/ Relevant Knowledge/ Expertise -

• Minimum of 10 years of experience in Data/MIS management in the Banking/Financial Services industry (Products & Services)

• Minimum of 3 years in a senior management position

• Business analysis / Data analysis / AI applications

• Data warehouse & Data management

Các Kỹ Năng,  Năng lực /Skills and Competencies

• Leadership (Strategic Mindset; Change and Innovation, Results Orientation, Impactful Communication; Talent Development, Organization Development; Performance Management)

• Functional (Problem-solving, Efficient operations, Project management, Stakeholder management)

• Integrity; Self control of personal emotions and maintaining a professional attitude at work.

• Open to new working methods, Innovative thinking, and adaptability to constant changes; Strong risk management orientation.